Journal of the Korean Society of Marine Environment & Safety (해양환경안전학회지)

The Korean Society of Marine Environment and safety (해양환경안전학회)
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Analysis of Research Trends in Relation to the Yellow Sea using Text Mining

텍스트 마이닝을 활용한 황해 관련 연구동향 분석연구

  • Kyu Won Hwang (Ocean Law and Policy Institute, Korea Institute of Ocean Science and Technology(KIOST)) ;
  • Kim Jinkyung (Ocean Law and Policy Institute, Korea Institute of Ocean Science and Technology(KIOST)) ;
  • Kang Seung-Koo (Korea-China Joint Ocean Research Center, Korea Institute of Ocean Science and Technology(KIOST)) ;
  • Kang Gil Mo (Korea-China Joint Ocean Research Center, Korea Institute of Ocean Science and Technology(KIOST))
  • Received : 2023.08.25
  • Accepted : 2023.12.29
  • Published : 2023.12.31
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Abstract

Located in the sea area between South Korea, North Korea, and China, the Yellow Sea plays an important role from a geopolitical perspective, and recently, as the use of marine space in the Yellow Sea is expanding, its social and economic values have been increasing further. In addition, owing to rapid climate changes, the need for joint response and cooperation between Korea and China is increasing in various fields, including changes in the marine environment and marine ecosystem and generation and movement of air pollutants. Accordingly, in this study, core topics were derived from research papers with the Yellow Sea as a keyword, and research trends to date were explored through author network analysis. As a specific research method, research papers related to the Yellow Sea published between 1984 and 2021 were extracted from the Web of Science database and were classified into four periods to derive core topics using topic modeling, a type of text mining. Furthermore, the influences of major research communities, researchers, and research institutes in the appropriate fields were identified through analyzing the author network, and their implications were presented. The analysis results indicated that the core topics of research papers on the Yellow Sea had changed over time, and differences existed in the influence (centrality) of key researchers. Finally, based on the results of this study, this study aims to identify research trends related to the Yellow Sea, major researchers, and research institutes and contribute to research cooperation between Korea and China regarding the Yellow Sea in the future.

황해는 지정학적으로 한국, 중국, 북한 사이 해역에 위치하고 있으며, 최근 해양공간 이용이 확대되어 사회적·경제적 가치가 증가하고 있다. 또한 기후변화로 인한 해양환경 변화, 대기오염물질 이동 등 한·중 공동 대응 및 협력의 필요성이 증가되고 있다. 본 연구에서는 황해(Yellow Sea) 키워드의 연구논문을 대상으로 핵심주제(Topic)을 도출하고, 저자 네트워크 분석을 수행하여 연구동향을 탐색하였다. 연구대상으로 1984년부터 2021년 사이에 게재된 Web of Science DataBase의 황해 관련 연구논문을 추출하고, 한중 어업협정, 해양환경공동조사 등 한국과 중국의 주요 이벤트를 중심으로 4개의 시기로 구분하였다. 연구방법으로 텍스트 마이닝(Text Mining)의 일종인 토픽모델링(Topic Modeling)을 활용하여 Topic을 도출하였다. 또한 저자 네트워크를 분석하여 해당 분야의 주요 연구 그룹(Community)과 연구자 및 연구기관의 영향력을 파악하고 시사점을 제시하였다. 분석결과 황해 연구논문의 핵심주제는 1기 퇴적물, 해양생물, 2기 산성화, 미세먼지, 3기 수산양식, 지진, 4기 탄소요인, 해양생태계 등으로 변화하였고, 시기별로 핵심 연구자를 중심의 연구자 그룹이 증가하였다. 연구결과를 토대로 황해 관련 연구 동향과 주요 연구자 및 연구기관을 파악함으로써 향후 한국과 중국 간의 황해 연구협력에 기여하고자 한다.

Keywords

Acknowledgement

이 연구는 2023년도 한국해양과학기술원 해양법·정책연구소에서 수행 중인 "해양법적 갈등현안 해결 및 해양경제영역 확장을 위한 국제 네트워크 인프라 구축 사업(PEA0043)"과 2023년도 해양수산부 재원으로 해양수산과학기술진흥원의 지원을 받아 수행된 연구(20220407, 한-중해양과학공동연구센터)입니다.

References

  1. Adam, S. M., S. H. M. Afandi, W. N. W. Mohamad, and S. Hassan(2022), Mapping Major Trends in Global Research In Marine And Coastal Tourism: A Bibliometric Analysis, Journal of Sustainability Science and Management, Vol. 17, No. 8, pp. 196-213. https://doi.org/10.46754/jssm.2022.08.012
  2. Alexander, C. R., D. J. DeMaster, and C. A. Nittrouer(1991), Sediment accumulation in a modern epicontinental-shelf setting: the Yellow Sea, Marine Geology, Vol. 98, No. 1, pp. 51-72. https://doi.org/10.1016/0025-3227(91)90035-3
  3. Alwan, H., A. Resen, A. Bashar, A. Abdulabbas, and M. Hassanshahian(2022), Biodegradation of Marine Pollutants by Microorganisms: A Bibliometric Analysis, Research in Biotechnology and Environmental Science, Vol. 1, No. 2, pp. 43-53. https://doi.org/10.58803/rbes.v1i2.8
  4. Bancheva, A.(2019), A bibliometric analysis of global research on the arctic (with special interest in environmental issues), Polar Science, Vol. 21, pp. 233-237. https://doi.org/10.1016/j.polar.2019.04.002
  5. Blei, D. M., A. Y. Ng, and M. I. Jordan(2003), Latent dirichlet allocation, Journal of machine Learning research, Vol. 3 (Jan), pp. 993-1022.
  6. Cao, Y., X. Wang, Z. Yang, J. Wang, H. Wang, and Z. Liu (2023), Research in marine accidents: A bibliometric analysis, systematic review and future directions, Ocean Engineering, Vol. 284, 115048.
  7. Caparros-Martinez, J. L., R. M. Martinez-Vazquez, and J. de Pablo Valenciano(2022), Analysis and global research trends on nautical tourism and green coastal infrastructures: The case of coral reefs and seagrass meadows, Environmental Sciences Europe, Vol. 34, No. 1, pp. 1-13.
  8. Chalastani, V. I., V. K. Tsoukala, H. Coccossis, and C. M. Duarte(2021), A bibliometric assessment of progress in marine spatial planning, Marine Policy, Vol. 127, 104329.
  9. Chen, C. H. and N. J. Su(2022), Global Trends and Characteristics of Offshore Wind Farm Research over the Past Three Decades: A Bibliometric Analysis, Journal of Marine Science and Engineering, Vol. 10, No. 10, 1339.
  10. Chen, C. T. A.(2009), Chemical and physical fronts in the Bohai, Yellow and East China seas, Journal of Marine Systems, Vol. 78, No. 3, pp. 394-410.
  11. Chen, L., W. Li, J. Li, Q. Fu, and T. Wang(2021), Evolution trend research of global ocean power generation based on a 45-year scientometric analysis, Journal of Marine Science and Engineering, Vol. 9, No. 2, 218.
  12. Duan, P., Y. Cao, Y. Wang, and P. Yin(2022), Bibliometric analysis of coastal and marine tourism research from 1990 to 2020, Journal of Coastal Research, Vol. 38, No. 1, pp. 229-240.
  13. Eum, S., S. Lee, X. Meng, S. W. Cho, and C. Lee(2019), Analysis of research trends of wireless power transfer system for locomotives using topic modeling based on LDA algorithm, Journal of the Korean Institute of Industrial Engineers, 45(4), pp. 284-301. https://doi.org/10.7232/JKIIE.2019.45.4.284
  14. Feldman, R. and J. Sanger(2007), The text mining handbook: advanced approaches in analyzing unstructured data, Cambridge university press.
  15. Girvan, M. and M. E. Newman(2002), Community structure in social and biological networks, Proceedings of the national academy of sciences, Vol. 99, No. 12, pp. 7821-7826.
  16. Heo, G.(2020), A Study on the Research Trends on the Marine Policy through Network Analysis in recent 11 years, Jounal of Fisheries And Marine Sciences Education, Vol. 32, No. 2, pp. 594-606. https://doi.org/10.13000/JFMSE.2020.4.32.2.594
  17. Hotel, Q. I. and P. R. Qingdao(2019), Implementing The Strategic Action Programme For The Yellow Sea Large Marine Ecosystem: Restoring Ecosystem Goods And Services And Consolidation of A Long-Term Regional Environmental Governance Framework (UNDP/GEF YSLME Phase II Project).
  18. Hu, H., W. Xue, P. Jiang, and Y. Li(2022), Bibliometric analysis for ocean renewable energy: An comprehensive review for hotspots, frontiers, and emerging trends, Renewable and Sustainable Energy Reviews, Vol. 167, 112739.
  19. Hwang, K. W., A. R. Jang, and M. S. Lee(2021), A Study on the Trends in the Studies on Marine Spatial Planning: Focusing on Topic Modeling, Journal of the Korean Society of Marine Environment & Safety, Vol. 27, No. 7, pp. 954-966. https://doi.org/10.7837/kosomes.2021.27.7.954
  20. Ichikawa, H. and R. C. Beardsley(2002), The current system in the Yellow and East China Seas, Journal of Oceanography, Vol. 58, pp. 77-92. https://doi.org/10.1023/A:1015876701363
  21. Ji, Q., X. Pang, and X. Zhao(2014), A bibliometric analysis of research on Antarctica during 1993-2012, Scientometrics, Vol. 101, pp. 1925-1939. https://doi.org/10.1007/s11192-014-1332-5
  22. Kabil, M., S. Priatmoko, R. Magda, and L. D. David(2021), Blue economy and coastal tourism: A comprehensive visualization bibliometric analysis, Sustainability, Vol. 13, No. 7, 3650.
  23. Keesing, J. K., D. Liu, P. Fearns, and R. Garcia(2011), Inter-and intra-annual patterns of Ulva prolifera green tides in the Yellow Sea during 2007-2009, their origin and relationship to the expansion of coastal seaweed aquaculture in China, Marine pollution bulletin, Vol. 62, No. 6, pp. 1169-1182. https://doi.org/10.1016/j.marpolbul.2011.03.040
  24. Kim, S. K. and T. H. Lee(2020), A Study on Text Mining Analysis of Presidential Maritime Concept in Korea, Journal of Korea Port Economic Association, Vol. 36, No. 3, pp. 39-53. https://doi.org/10.38121/kpea.2020.09.36.3.39
  25. Kim, D. S. and K. Y. Kwahk(2013), Investigating the Global Financial Markets from a Social Network Analysis Perspective, Journal of The Korean Operations Research and Management Science Society, Vol. 38, No. 4, pp. 11-33.
  26. Kim, H. K., K. S. Kwon, and D. H. Jang(2016a), Language Network Analysis of 'Marine Environment' in News Frame, The Journal of the Korea Contents Association, Vol. 16, No. 5, pp. 385-398. https://doi.org/10.5392/JKCA.2016.16.05.385
  27. Kim, J., S. Lee, W. Shim, and J. Kang(2016b), A mapping of marine biodiversity research trends and collaboration in the east Asia region from 1996-2015, Sustainability, Vol. 8, No. 10, 1075.
  28. Kim, S. and H. Cha(2021), A Exploratory Analysis on Knowledge Structure of Untact Research, The Journal of the Convergence on Culture Technology, Vol. 7, No. 2, pp. 367-375.
  29. Kim, Y. H.(2020), Understanding and Application of Social Network Analysis Techniques: Network Structure and Clustering and QAP, KIPA(Korea Institute Of Public Administration), Vol. 34, pp. 58-68.
  30. Lee, D. Y. and H. S. Yi(2021), Exploring methods for determining the appropriate number of topics in LDA: Focusing on perplexity and harmonic mean method, Journal of Educational Evaluation, Vol. 34, No. 1, pp. 1-30.
  31. Lee, G. S., H. Y. Cho, and J. R. Han(2018), Text Mining Analysis on the Research Field of the Coastal and Ocean Engineering Based on the SCOPUS Bibliographic Information, Journal of Korean Society of Coastal and Ocean Engineers, Vol. 30, No. 1, pp. 19-28. https://doi.org/10.9765/KSCOE.2018.30.1.19
  32. Lee, H. J. and S. K. Chough(1989), Sediment distribution, dispersal and budget in the Yellow Sea, Marine Geology, Vol. 87, No. 2-4, pp. 195-205. https://doi.org/10.1016/0025-3227(89)90061-3
  33. Liang, J., Z. Yin, J. Yang, Y. Li, M. Xu, J. Li, M. Yang, and L. Niu(2022), Bibliometrics and visualization analysis of research in the field of sustainable development of the blue economy (2006-2021), Frontiers in Marine Science, Vol. 9, 936612.
  34. Liu, C., J. Li, W. Ma, X. Tang, X. Zhang, S. Wang, and D. Tang(2023), Progress of research on satellite remote sensing application in oceanography: A case study in China, Regional Studies in Marine Science, 103055.
  35. Liu, D., J. K. Keesing, P. He, Z. Wang, Y. Shi, and Y. Wang (2013), The world's largest macroalgal bloom in the Yellow Sea, China: formation and implications. Estuarine, Coastal and Shelf Science, Vol. 129, pp. 2-10. https://doi.org/10.1016/j.ecss.2013.05.021
  36. Liu, J. P., J. D. Milliman, S. Gao, and P. Cheng(2004), Holocene development of the Yellow River's subaqueous delta, North Yellow Sea, Marine geology, Vol. 209, No. 1-4, pp. 45-67. https://doi.org/10.1016/j.margeo.2004.06.009
  37. Martinez Vazquez, R. M., J. Milan Garcia, and J. De Pablo Valenciano(2021), Analysis and trends of global research on nautical, maritime and marine tourism, Journal of Marine Science and Engineering, Vol. 9, No. 1, p. 93.
  38. Murray, N. J., R. S. Clemens, S. R. Phinn, H. P. Possingham, and R. A. Fuller(2014), Tracking the rapid loss of tidal wetlands in the Yellow Sea, Frontiers in Ecology and the Environment, Vol. 12, No. 5, pp. 267-272. https://doi.org/10.1890/130260
  39. Padilla, J. E. and A. Hudson(2019), United Nations development programme (UNDP) perspectives on Asian Large Marine Ecosystems, Deep Sea Research Part II: Topical Studies in Oceanography, Vol. 163, pp. 127-129.  https://doi.org/10.1016/j.dsr2.2019.05.011
  40. Paranyushkin, D.(2011), Identifying the pathways for meaning circulation using text network analysis, Nodus Labs, Vol. 26, pp. 1-26.
  41. Park, E. J., Y. J. Kim, and C. S. Park(2017), A Comparison of Hospice Care Research Topics between Korea and Other Countries Using Text Network Analysis, Journal of Korean Academy of Nursing, Vol. 47, No. 5, pp. 600-612.
  42. Pathmanandakumar, V., S. N. Chenoli, and H. C. Goh(2021), Linkages between climate change and coastal tourism: A bibliometric analysis, Sustainability, Vol. 13, No. 19, 10830.
  43. Qi, L., C. Hu, B. B. Barnes, B. E. Lapointe, Y. Chen, Y. Xie, and M. Wang(2022), Climate and anthropogenic controls of seaweed expansions in the East China Sea and Yellow Sea, Geophysical Research Letters, Vol. 49, No. 19, e2022GL098185.
  44. Razmjooei, D., M. Alimohammadlou, H. A. Ranaei Kordshouli, and K. Askarifar(2023), Industry 4.0 research in the maritime industry: a bibliometric analysis, WMU Journal of Maritime Affairs, pp. 1-32.
  45. Ren, M. E. and Y. L. Shi(1986), Sediment discharge of the Yellow River (China) and its effect on the sedimentation of the Bohai and the Yellow Sea, Continental Shelf Research, Vol. 6, No. 6, pp. 785-810. https://doi.org/10.1016/0278-4343(86)90037-3
  46. Rhomad, H., K. Khalil, and K. Elkalay(2023), Trends and hot spots of coastal science in Moroccan Atlantic coast: a bibliometric analysis, Environment, Development and Sustainability, pp. 1-24.
  47. Rumin, J., E. Nicolau, R. Goncalves de Oliveira Junior, C. Fuentes-Grunewald, K. J. Flynn, and L. Picot(2020), A bibliometric analysis of microalgae research in the world, Europe, and the European Atlantic area, Marine drugs, Vol. 18, No. 2, 79.
  48. Salazar-Sepulveda, G., A. Vega-Munoz, N. Contreras-Barraza, D. Castillo, M. Torres-Alcayaga, and C. Cornejo-Orellana (2023), Bibliometric Analysis on Ocean Literacy Studies for Marine Conservation, Water, Vol. 15, No. 11, 2095.
  49. Sherman, K. and G. Hempel(2009), The UNEP Large Marine Ecosystems Report, UNEP Regional Seas Report and Studies, No. 182.
  50. Studds, C. E., B. E. Kendall, N. J. Murray, H. B. Wilson, D. I. Rogers, R. S. Clemens, K. Gosbell, C. J. Hassell, R. Jessop, D. S. Melville, D. A. Milton, C. D. T. Minton, H. P. Possingham, A. C. Riegen, P. Straw, E. J. Woehler, and R. A. Fuller(2017), Rapid population decline in migratory shorebirds relying on Yellow Sea tidal mudflats as stopover sites, Nature communications, Vol. 8, No. 1, 14895.
  51. Wang, L., W. Niu, L. Ding, and Z. Zhao(2023), A bibliometric review on marine economy: Current status, development and future directions, Marine Policy, Vol. 155, 105705.
  52. Wang, Q., J. Wang, M. Xue, and X. Zhang(2022), Characteristics and Trends of Ocean Remote Sensing Research from 1990 to 2020: A Bibliometric Network Analysis and Its Implications, Journal of Marine Science and Engineering, Vol. 10, No. 3, 373.
  53. Wang, Z., J. Xiao, S. Fan, Y. Li, X. Liu, and D. Liu(2015), Who made the world's largest green tide in China? - an integrated study on the initiation and early development of the green tide in Yellow Sea, Limnology and Oceanography, Vol. 60, No. 4, pp. 1105-1117. https://doi.org/10.1002/lno.10083
  54. Xie, J., Z. Bian, Q. Wu, L. Tao, F. Wu, and T. Lin(2023), Global knowledge domain and prospects in tuna research: a bibliometric analysis, Aquaculture and Fisheries, Vol. 8, No. 2, pp. 202-210. https://doi.org/10.1016/j.aaf.2021.09.005
  55. Ye, P., Y. Li, H. Zhang, and H. Shen(2020), Bibliometric analysis on the research of offshore wind power based on web of science, Economic research-Ekonomska istrazivanja, Vol. 33, No. 1, pp. 887-903. https://doi.org/10.1080/1331677X.2020.1734853
  56. Yu, B. J. and Y. H. Ha(2022), Analysis of Research Trends of Unmanned Marine Systems in Korea, the United States, Japan, and China using Topic Modeling, Journal of Korea Academia-Industrial cooperation Society (JKAIS), Vol. 23, No. 11, pp. 395-403.
  57. Zhao, J., W. Ran, J. Teng, Y. Liu, H. Liu, X. Yin, R. Cao, and Q. Wang(2018), Microplastic pollution in sediments from the Bohai Sea and the Yellow Sea, China, Science of the Total Environment, Vol. 640, pp. 637-645.
  58. Zhong, C., T. Li, R. Bi, E. Sanganyado, J. Huang, S. Jiang, Z. Zhang, and H. Du(2023), A systematic overview, trends and global perspectives on blue carbon: A bibliometric study (2003-2021), Ecological Indicators, Vol. 148, 110063.
  59. Zhong, M., H. Wu, W. Mi, F. Li, C. Ji, R. Ebinghaus, J. Tang, and Z. Xie(2018), Occurrences and distribution characteristics of organophosphate ester flame retardants and plasticizers in the sediments of the Bohai and Yellow Seas, China, Science of the Total Environment, Vol. 615, pp. 1305-1311. https://doi.org/10.1016/j.scitotenv.2017.09.272
  60. Zhou, C., R. Bi, C. Su, W. Liu, and T. Wang(2022), The emerging issue of microplastics in marine environment: A bibliometric analysis from 2004 to 2020, Marine Pollution Bulletin, Vol. 179, 113712.
  61. Zhou, Q., H. Zhang, C. Fu, Y. Zhou, Z. Dai, Y. Li, C. Tu, and Y. Luo(2018), The distribution and morphology of microplastics in coastal soils adjacent to the Bohai Sea and the Yellow Sea, Geoderma, Vol. 322, pp. 201-208. https://doi.org/10.1016/j.geoderma.2018.02.015
  62. Zhu, L., H. Bai, B. Chen, X. Sun, K. Qu, and B. Xia(2018), Microplastic pollution in North Yellow Sea, China: Observations on occurrence, distribution and identification, Science of the Total Environment, Vol. 636, pp. 20-29.  https://doi.org/10.1016/j.scitotenv.2018.04.182